EconPapers    
Economics at your fingertips  
 

Optimization of hydroelectric power generation, case study of Roseires Dam in Sudan

Issam Mohamed ()

MPRA Paper from University Library of Munich, Germany

Abstract: Water reservoirs are large pools of water created stream or river catchment's areas and torrential rains and for storing water for use in many ways, and perhaps electric power generation is one of the most important uses of these reservoirs and for agriculture. That is extremely beneficial considering a rare and limited economic resources. Applied stochastic processes model has been applied in the work of Roseires dam, in order to develop a system to generate the highest possible power in the resources available. The current paper aims to apply another model, which is a dynamic programming model to verify the possibility of developing the same system and thus generate the highest possible electricity from the reservoir. Data collected from the Ministry of Irrigation and the National Electricity Cooperation and international information network during the years 2006-2007.

Keywords: Englsih (search for similar items in EconPapers)
JEL-codes: A10 C0 C00 C01 C40 C80 (search for similar items in EconPapers)
Date: 2011
New Economics Papers: this item is included in nep-afr, nep-ara and nep-ene
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/31558/1/MPRA_paper_31558.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:31558

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-19
Handle: RePEc:pra:mprapa:31558